`geom_smooth()` using formula = 'y ~ x'
2025-06-17
by Giulia Calignano
University of Padova
Department of Developmental and Social Psychology, Psicostat
Part 1: Understanding the Multiverse
Part 2: MB2-P Pupillometry Case Study
Co-authors:
Melanie S. Schreiner • Alvin Tan • Marlena Mayer • Robert Hepach and the MB2-P Team —
Specification Curve
Volcano Plot
Density Plot by Condition × Outcome × Age
DF3: Moving Average Filtering
`geom_smooth()` using formula = 'y ~ x'
# A tibble: 2 × 2
df5 n
<chr> <int>
1 excluded 47200
2 included 800
Specification Curve of Model Estimates
Volcano Plot of Effect Estimates
The Explorative Multiverse analysis approaches shows how results shift across processing paths: their fragility/robustness
The Multiverse reveal consistent vs. fragile effects
Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing transparency through a multiverse analysis. Perspectives on Psychological Science
Dragicevic, P., Jansen, Y., Sarma, A., Kay, M., & Chevalier, F. (2019, May). Increasing the transparency of research papers with explorable multiverse analyses. In proceedings of the 2019 chi conference on human factors in computing systems
Simonsohn, U., Simmons, J. P., & Nelson, L. D. (2020). Specification curve analysis. Nature Human Behaviour
Calignano, G., Girardi, P., & Altoè, G. (2024). First steps into the pupillometry multiverse of developmental science. Behavior Research Methods
Sirois, S., Brisson, J., Blaser, E., Calignano, G., Donenfeld, J., Hepach, R., … & Valenza, E. (2023). The pupil collaboration: A multi-lab, multi-method analysis of goal attribution in infants. Infant Behavior and Development